Triple

T1596980
Position Surface form Disambiguated ID Type / Status
Subject Dracut E34304 entity
Predicate hasHistoricArea P5057 FINISHED
Object East Dracut E90750 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: East Dracut | Statement: [Dracut, hasHistoricArea, East Dracut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Dracut
Context triple: [Dracut, hasHistoricArea, East Dracut]
  • A. Dracut, Massachusetts chosen
    Dracut, Massachusetts is a suburban town in northeastern Massachusetts known for its mix of residential neighborhoods, conservation land, and historic mill village roots.
  • B. Newton North
    Newton North is a public high school located in Newton, Massachusetts, known for its strong academics and extensive extracurricular programs.
  • C. Draper
    Draper is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • D. Newton Hills
    Newton Hills is a series of challenging inclines in Newton, Massachusetts, best known for forming the toughest stretch of the Boston Marathon course.
  • E. Litchfield Hills
    Litchfield Hills is a scenic region in northwestern Connecticut known for its rolling hills, historic towns, and rural New England charm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092e46748190b27be7d1aba07dff completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a848ec819085c82be8eaea2044 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.